The NEIS conference, which has been held annually since 2013 and is organized by Helmut Schmidt University, was held this year in Hamburg on September 4-5, 2023. The FfE was represented at the conference with two scientific contributions on current research questions from different areas of electromobility and presented methods and results of the electromobility projects BDL und unIT-e². Adrian Ostermann presented the results of the publication “Bidirectional Electric Vehicles Field Trial Data Set”, while Patrick Dossow talked about the work “Smart e-mobility: user potential in Germany today and in the fu-ture”, which will be published in the conference proceedings by VDE Verlag / IEEE Xplore after the conference.
Bidirectional Electric Vehicles Field Trial Data Set
Adrian Ostermann, Theodor Haug, Helena Hahne and Michael Hinterstocker
Open datasets on electric vehicle charging are mostly limited to public or workplace unidirectional charging and rarely cover unidirectional residential charging. This paper publishes the first open residential bidirectional charging data set, the corresponding power data of the grid connection point, and, if applicable, of the PV system in 15 min resolution. The first part describes the dataset, values, and meta information. The last part analyzes some of the measured values and gives critical figures concerning the energy quantities or the plug-in behavior. The published data is intended to enable other scientists to perform their analyses of bidirectional charging or to validate their model assumptions and results.
Link to dataset
Smart e-mobility: User potential in Germany today and in the future
Patrick Dossow, Kirstin Ganz, Dr. Timo Kern
In the effort to decarbonize the transport sector, intelligently managing the charging process of electric vehicles enables the purposeful integration of electric mobility. Use cases of such smart charging processes range from local self-optimization (PV-optimized charging, peak shaving) to spot market participation (day ahead or intraday market trading) to system-stabilizing measures (redispatch, balancing services).
To contribute to current research, this paper presents a novel approach to determine so-called user potentials, which are the number of vehicles users, who are generally eligible to conduct a respective use case. Two types of user potentials are calculated for a base year (2021) and a future year (2030) for Germany using specific methodologies for ten use cases.
The resulting user potentials for 2021 are relatively high in relation to the current number of electric vehicles registered in Germany. For the future year of 2030, user potentials are increased for most cases. The largest increases are obtained for day ahead market trading and PV self-consumption (3.5 and 2.9 million additional users). The use case day ahead market trading shows the highest user potential with at least 5.2 million applicable electric vehicles users. Potentials of intraday market trading, peak shaving and redispatch remain rather moderate with only slight increases. For balancing services, the user potentials are even slightly decreased. Optimized PV self-optimization and peak shaving also yield potentials of well above 1 million electric vehicles users. All findings and the detailed methodology are presented in the published paper.